A house in Richmond being demolished. The interior of one of the rooms. The photographer comments, "The end of 393 River Rd".
A house in Richmond being demolished. A digger moves over the rubble. All but one corner has been demolished. The photographer comments, "The end of 393 River Rd".
A house in Richmond being demolished. A digger moves over the rubble. All but one corner has been demolished. The photographer comments, "The end of 393 River Rd".
A house in Richmond being demolished. A digger moves over the rubble. All but one corner has been demolished. The photographer comments, "The end of 393 River Rd".
A house in Richmond being demolished. A worker hoses down the rubble to prevent dust. All but one corner has been demolished. The photographer comments, "The end of 393 River Rd".
Micro - electro - mechanical system (MEMS) based accelerometers are now frequently used in many different parts of our day - to - day lives. It is also increasingly being used for structural testing applications. Researchers have had res ervation of using these devices as they are relatively untested, but now with the wider adoption, it provides a much cheaper and more versatile tool for structural engineering researchers. A number of damaged buildings in the Christchurch Central Business District (CBD) were instrumented with a number of low - cost MEMS accelerometers after the major Christchurch earthquakes. The accelerometers captured extremely high quality building response data as the buildings experienced thousands of aftershocks. This d ata set was amongst one of only a handful of data set s available around the world which provides building response data subjected to real ground motion. Furthermore, due to technological advances, a much larger than usual number of accelerometers has been deployed making the data set one of the most comprehensive available. This data set is utilised to extract modal parameters of the buildings. This paper summarises the operating requirements and preference for using such accelerometers for experimental mod al analysis. The challenges for adapting MEMS based devices for successful modal parameters identification are also discussed.